| Summary: | 碩士 === 國立中央大學 === 電機工程研究所 === 92 === As the demand for content-based information retrieval goes high, traditional “frame”-based videos are not adequate. Novel multimedia applications are looking for object-based video, a video sequence has only one object without background, to support flexible utilization. For instance, MPEG-7 (Moving Picture Experts Group) has defined standardized functionality that allows users to search visual content according to object shapes. Meanwhile, MPEG-4 video standard verification model includes the content-based functionality to decompose a video sequence into one or several video object planes (VOP’s), so that each VOP represents one moving object, and they can be recomposed as a new video sequence or be compressed according to their shapes. Therefore, to develop the technique of extracting objects from plain videos is very important.
In this thesis, we proposed a region-based segmentation algorithm. It is based on multiscale morphological feature extraction followed by a higher order statistical test ( HOS ). Multiscale morphological features extraction, which takes the feature size and contrast into account for region extraction. The HOS algorithm is suited for very small moving because of the characterization, that suppress the statistic of Gaussian-distributed and enlarge the statistic of Non-Gaussian-distributed.video. It provided reasonable VOP extract procedure without simplification step and suit for very small moving objects extraction. Experimentally, this method provides good results on different kinds of sequences.
|
|---|
